Instructions to use balnazzar/Frankie-F with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use balnazzar/Frankie-F with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="balnazzar/Frankie-F")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("balnazzar/Frankie-F")
model = AutoModelForCausalLM.from_pretrained("balnazzar/Frankie-F")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use balnazzar/Frankie-F with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "balnazzar/Frankie-F"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "balnazzar/Frankie-F",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/balnazzar/Frankie-F

SGLang

How to use balnazzar/Frankie-F with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "balnazzar/Frankie-F" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "balnazzar/Frankie-F",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "balnazzar/Frankie-F" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "balnazzar/Frankie-F",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use balnazzar/Frankie-F with Docker Model Runner:
```
docker model run hf.co/balnazzar/Frankie-F
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Frankie-

Frankie- is a (franken)merge of the following models using mergekit:

🧩 Configuration

slices:
  - sources:
    - model: TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T
      layer_range: [0, 16]
  - sources:
    - model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
      layer_range: [6, 22]
merge_method: passthrough
dtype: float16

Downloads last month: 4

Safetensors

Model size

2B params

Tensor type

F16

Model tree for balnazzar/Frankie-F

Quantizations

1 model